{"id":"W2062307897","doi":"10.1179/037178409x12450752943243","title":"Open pit optimisation using discounted economic block values","year":2009,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Discounted cash flow; Schedule; Block (permutation group theory); Mathematical optimization; Dimension (graph theory); Scheduling (production processes); Computer science; Open-pit mining; Operations research; Engineering; Algorithm; Cash flow; Mathematics; Mining engineering; Economics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022347,0.000161465,0.0003035586,0.0004343316,0.0002983082,0.00002874085,0.0004267446,0.0002101994,0.00002753236],"category_scores_gemma":[0.00002482628,0.0001549211,0.00009361444,0.0003052614,0.000275901,0.0002886087,0.00003719074,0.0001610865,5.952824e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144832,"about_ca_system_score_gemma":0.00008819231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000705516,"about_ca_topic_score_gemma":0.0001092472,"domain_scores_codex":[0.9991134,0.00001777073,0.0004527016,0.0001993545,0.00005310412,0.0001636634],"domain_scores_gemma":[0.9993507,0.00002910023,0.0001610096,0.0003900587,0.00003749231,0.00003163079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000038721,0.0001279222,0.0003378042,0.00004977742,0.0003416585,7.904713e-7,0.001196633,0.9420291,0.02786294,0.004731541,0.0002004685,0.02308262],"study_design_scores_gemma":[0.002305184,0.0008133595,0.001444408,0.000944104,0.001004133,0.0006563059,0.007450717,0.8229125,0.1471436,0.002886643,0.01128821,0.001150826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255404,0.0001350897,0.07168117,0.0002720278,0.0004800314,0.0001952829,0.0000159445,0.0002359936,0.001444],"genre_scores_gemma":[0.9475367,0.0001134531,0.05217116,0.00001060666,0.0000201513,0.00001648468,0.000002100791,0.00001375701,0.0001155871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192807,"threshold_uncertainty_score":0.6317497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074833450070371,"score_gpt":0.2670823808023443,"score_spread":0.2363340463016406,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}